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HbA(1c) and Risks of All-Cause and Cause-Specific Death in Subjects without Known Diabetes: A Dose-Response Meta-Analysis of Prospective Cohort Studies

Whether HbA(1c) levels are associated with mortality in subjects without known diabetes remains controversial. Moreover, the shape of the dose–response relationship on this topic is unclear. Therefore, a dose–response meta-analysis was conducted. PubMed and EMBASE were searched. Summary hazard ratio...

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Autores principales: Zhong, Guo-Chao, Ye, Ming-Xin, Cheng, Jia-Hao, Zhao, Yong, Gong, Jian-Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4820688/
https://www.ncbi.nlm.nih.gov/pubmed/27045572
http://dx.doi.org/10.1038/srep24071
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author Zhong, Guo-Chao
Ye, Ming-Xin
Cheng, Jia-Hao
Zhao, Yong
Gong, Jian-Ping
author_facet Zhong, Guo-Chao
Ye, Ming-Xin
Cheng, Jia-Hao
Zhao, Yong
Gong, Jian-Ping
author_sort Zhong, Guo-Chao
collection PubMed
description Whether HbA(1c) levels are associated with mortality in subjects without known diabetes remains controversial. Moreover, the shape of the dose–response relationship on this topic is unclear. Therefore, a dose–response meta-analysis was conducted. PubMed and EMBASE were searched. Summary hazard ratios (HRs) were calculated using a random-effects model. Twelve studies were included. The summary HR per 1% increase in HbA(1c) level was 1.03 [95% confidence interval (CI) = 1.01–1.04] for all-cause mortality, 1.05 [95% CI = 1.02–1.07) for cardiovascular disease (CVD) mortality, and 1.02 (95% CI = 0.99–1.07) for cancer mortality. After excluding subjects with undiagnosed diabetes, the aforementioned associations remained significant for CVD mortality only. After further excluding subjects with prediabetes, all aforementioned associations presented non-significance. Evidence of a non-linear association between HbA(1c) and mortality from all causes, CVD and cancer was found (all P(non-linearity) < 0.05). The dose–response curves were relatively flat for HbA(1c) less than around 5.7%, and rose steeply thereafter. In conclusion, higher HbA(1c) level is associated with increased mortality from all causes and CVD among subjects without known diabetes. However, this association is driven by those with undiagnosed diabetes or prediabetes. The results regarding cancer mortality should be treated with caution due to limited studies.
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spelling pubmed-48206882016-04-06 HbA(1c) and Risks of All-Cause and Cause-Specific Death in Subjects without Known Diabetes: A Dose-Response Meta-Analysis of Prospective Cohort Studies Zhong, Guo-Chao Ye, Ming-Xin Cheng, Jia-Hao Zhao, Yong Gong, Jian-Ping Sci Rep Article Whether HbA(1c) levels are associated with mortality in subjects without known diabetes remains controversial. Moreover, the shape of the dose–response relationship on this topic is unclear. Therefore, a dose–response meta-analysis was conducted. PubMed and EMBASE were searched. Summary hazard ratios (HRs) were calculated using a random-effects model. Twelve studies were included. The summary HR per 1% increase in HbA(1c) level was 1.03 [95% confidence interval (CI) = 1.01–1.04] for all-cause mortality, 1.05 [95% CI = 1.02–1.07) for cardiovascular disease (CVD) mortality, and 1.02 (95% CI = 0.99–1.07) for cancer mortality. After excluding subjects with undiagnosed diabetes, the aforementioned associations remained significant for CVD mortality only. After further excluding subjects with prediabetes, all aforementioned associations presented non-significance. Evidence of a non-linear association between HbA(1c) and mortality from all causes, CVD and cancer was found (all P(non-linearity) < 0.05). The dose–response curves were relatively flat for HbA(1c) less than around 5.7%, and rose steeply thereafter. In conclusion, higher HbA(1c) level is associated with increased mortality from all causes and CVD among subjects without known diabetes. However, this association is driven by those with undiagnosed diabetes or prediabetes. The results regarding cancer mortality should be treated with caution due to limited studies. Nature Publishing Group 2016-04-05 /pmc/articles/PMC4820688/ /pubmed/27045572 http://dx.doi.org/10.1038/srep24071 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Zhong, Guo-Chao
Ye, Ming-Xin
Cheng, Jia-Hao
Zhao, Yong
Gong, Jian-Ping
HbA(1c) and Risks of All-Cause and Cause-Specific Death in Subjects without Known Diabetes: A Dose-Response Meta-Analysis of Prospective Cohort Studies
title HbA(1c) and Risks of All-Cause and Cause-Specific Death in Subjects without Known Diabetes: A Dose-Response Meta-Analysis of Prospective Cohort Studies
title_full HbA(1c) and Risks of All-Cause and Cause-Specific Death in Subjects without Known Diabetes: A Dose-Response Meta-Analysis of Prospective Cohort Studies
title_fullStr HbA(1c) and Risks of All-Cause and Cause-Specific Death in Subjects without Known Diabetes: A Dose-Response Meta-Analysis of Prospective Cohort Studies
title_full_unstemmed HbA(1c) and Risks of All-Cause and Cause-Specific Death in Subjects without Known Diabetes: A Dose-Response Meta-Analysis of Prospective Cohort Studies
title_short HbA(1c) and Risks of All-Cause and Cause-Specific Death in Subjects without Known Diabetes: A Dose-Response Meta-Analysis of Prospective Cohort Studies
title_sort hba(1c) and risks of all-cause and cause-specific death in subjects without known diabetes: a dose-response meta-analysis of prospective cohort studies
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4820688/
https://www.ncbi.nlm.nih.gov/pubmed/27045572
http://dx.doi.org/10.1038/srep24071
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